Main Dart for Loading TF Lite assets example

main.dart

import 'dart:async';
import 'dart:convert';
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:camera/camera.dart';

List<CameraDescription> cameras;
var labels, colors;

Future<void> main() async {
  try {
    cameras = await availableCameras();
  } on CameraException catch (e) {
    print('Error: $e.code\nError Message: $e.message');
  }
  await _loadModel();
  runApp(ObjectDetectApp());
}

Future<Null> _loadModel() async {
  try {
    const platform = const MethodChannel('francium.tech/tensorflow');

    var jsonString = await rootBundle.loadString('assets/yolov2-tiny.meta');
    var metaData = json.decode(jsonString);
    labels = metaData["labels"];
    colors = metaData["colors"];
    metaData["blockSize"] = 32;
    metaData["threshold"] = 0.5;
    metaData["overlap_threshold"] = 0.7;
    metaData["max_result"] = 15;

    final String result = await platform.invokeMethod('loadModel',
        {"modal_path": "assets/yolov2_graph.lite", "meta_data": metaData});
    print(result);
  } on PlatformException catch (e) {
    print('Error: $e.code\nError Message: $e.message');
  }
}
class ObjectDetectApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return new MaterialApp(
        home: Scaffold(
          appBar: AppBar(
              title: Center(
            child: Text('Object Detector'),
          )),
        ));
  }
}